Dataset statistics
| Number of variables | 23 |
|---|---|
| Number of observations | 1126 |
| Missing cells | 1143 |
| Missing cells (%) | 4.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 194.8 KiB |
| Average record size in memory | 177.1 B |
Variable types
| Text | 4 |
|---|---|
| Unsupported | 7 |
| Numeric | 7 |
| Categorical | 2 |
| DateTime | 2 |
| Boolean | 1 |
GitHub Stars is highly overall correlated with GitHub Forks and 3 other fields | High correlation |
GitHub Forks is highly overall correlated with GitHub Stars and 3 other fields | High correlation |
GitHub Watchers is highly overall correlated with GitHub Stars and 3 other fields | High correlation |
GitHub Open Issues is highly overall correlated with GitHub Stars and 3 other fields | High correlation |
GitHub Contributors is highly overall correlated with GitHub Stars and 3 other fields | High correlation |
GitHub Repo Archived is highly imbalanced (90.9%) | Imbalance |
category is highly imbalanced (75.0%) | Imbalance |
Project Homepage has 538 (47.8%) missing values | Missing |
GitHub License Type has 551 (48.9%) missing values | Missing |
GitHub Description has 54 (4.8%) missing values | Missing |
GitHub Stars is highly skewed (γ1 = 21.54962409) | Skewed |
GitHub Forks is highly skewed (γ1 = 25.30007266) | Skewed |
GitHub Watchers is highly skewed (γ1 = 22.76499067) | Skewed |
Project Landscape Category is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
GitHub Topics is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
GitHub Detected Languages is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Duration Created to Most Recent Commit is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Duration Created to Now is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Duration Most Recent Commit to Now is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Negative Duration Most Recent Commit to Now is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
GitHub Stars has 44 (3.9%) zeros | Zeros |
GitHub Forks has 434 (38.5%) zeros | Zeros |
GitHub Watchers has 52 (4.6%) zeros | Zeros |
GitHub Open Issues has 675 (59.9%) zeros | Zeros |
GitHub Contributors has 27 (2.4%) zeros | Zeros |
Reproduction
| Analysis started | 2023-10-16 14:06:37.568003 |
|---|---|
| Analysis finished | 2023-10-16 14:06:43.105771 |
| Duration | 5.54 seconds |
| Software version | ydata-profiling vv4.6.0 |
| Download configuration | config.json |
Project Name
Text
| Distinct | 1090 |
|---|---|
| Distinct (%) | 96.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Length
| Max length | 100 |
|---|---|
| Median length | 65 |
| Mean length | 15.011545 |
| Min length | 3 |
Characters and Unicode
| Total characters | 16903 |
|---|---|
| Distinct characters | 65 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1062 ? |
|---|---|
| Unique (%) | 94.3% |
Sample
| 1st row | pandas |
|---|---|
| 2nd row | numpy |
| 3rd row | arrow |
| 4th row | duckdb |
| 5th row | parquet-mr |
| Value | Count | Frequency (%) |
| single-cell-analysis | 8 | 0.7% |
| single-cell-rna-seq-analysis | 7 | 0.6% |
| single_cell_analysis | 7 | 0.6% |
| singlecellanalysis | 4 | 0.4% |
| single-cell-rna-seq | 4 | 0.4% |
| singlecell | 3 | 0.3% |
| orchestratingsinglecellanalysis | 3 | 0.3% |
| single-cell-data-analysis | 2 | 0.2% |
| scrna-tools | 2 | 0.2% |
| sctools | 2 | 0.2% |
| Other values (1060) | 1084 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1439 | 8.5% |
| l | 1340 | 7.9% |
| s | 1263 | 7.5% |
| i | 1027 | 6.1% |
| a | 1010 | 6.0% |
| n | 950 | 5.6% |
| - | 848 | 5.0% |
| c | 782 | 4.6% |
| o | 696 | 4.1% |
| t | 619 | 3.7% |
| Other values (55) | 6929 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 12375 | |
| Uppercase Letter | 2820 | 16.7% |
| Dash Punctuation | 848 | 5.0% |
| Connector Punctuation | 429 | 2.5% |
| Decimal Number | 411 | 2.4% |
| Other Punctuation | 20 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1439 | |
| l | 1340 | |
| s | 1263 | |
| i | 1027 | 8.3% |
| a | 1010 | 8.2% |
| n | 950 | 7.7% |
| c | 782 | 6.3% |
| o | 696 | 5.6% |
| t | 619 | 5.0% |
| r | 572 | 4.6% |
| Other values (16) | 2677 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 427 | |
| C | 394 | |
| S | 374 | |
| R | 232 | 8.2% |
| N | 205 | 7.3% |
| M | 133 | 4.7% |
| T | 129 | 4.6% |
| P | 128 | 4.5% |
| I | 113 | 4.0% |
| D | 104 | 3.7% |
| Other values (16) | 581 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 156 | |
| 0 | 99 | |
| 1 | 71 | |
| 3 | 22 | 5.4% |
| 9 | 21 | 5.1% |
| 8 | 14 | 3.4% |
| 4 | 11 | 2.7% |
| 7 | 8 | 1.9% |
| 6 | 5 | 1.2% |
| 5 | 4 | 1.0% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 848 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 429 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 20 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 15195 | |
| Common | 1708 | 10.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1439 | 9.5% |
| l | 1340 | 8.8% |
| s | 1263 | 8.3% |
| i | 1027 | 6.8% |
| a | 1010 | 6.6% |
| n | 950 | 6.3% |
| c | 782 | 5.1% |
| o | 696 | 4.6% |
| t | 619 | 4.1% |
| r | 572 | 3.8% |
| Other values (42) | 5497 |
Common
| Value | Count | Frequency (%) |
| - | 848 | |
| _ | 429 | |
| 2 | 156 | 9.1% |
| 0 | 99 | 5.8% |
| 1 | 71 | 4.2% |
| 3 | 22 | 1.3% |
| 9 | 21 | 1.2% |
| . | 20 | 1.2% |
| 8 | 14 | 0.8% |
| 4 | 11 | 0.6% |
| Other values (3) | 17 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 16903 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1439 | 8.5% |
| l | 1340 | 7.9% |
| s | 1263 | 7.5% |
| i | 1027 | 6.1% |
| a | 1010 | 6.0% |
| n | 950 | 5.6% |
| - | 848 | 5.0% |
| c | 782 | 4.6% |
| o | 696 | 4.1% |
| t | 619 | 3.7% |
| Other values (55) | 6929 |
Project Homepage
Text
MISSING
| Distinct | 206 |
|---|---|
| Distinct (%) | 35.0% |
| Missing | 538 |
| Missing (%) | 47.8% |
| Memory size | 8.9 KiB |
Length
| Max length | 116 |
|---|---|
| Median length | 0 |
| Mean length | 13.770408 |
| Min length | 0 |
Characters and Unicode
| Total characters | 8097 |
|---|---|
| Distinct characters | 65 |
| Distinct categories | 8 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 202 ? |
|---|---|
| Unique (%) | 34.4% |
Sample
| 1st row | https://pandas.pydata.org |
|---|---|
| 2nd row | https://numpy.org |
| 3rd row | https://arrow.apache.org/ |
| 4th row | http://www.duckdb.org |
| 5th row |
| Value | Count | Frequency (%) |
| http://scvi-tools.org | 2 | 1.0% |
| https://scanpy.readthedocs.io | 2 | 1.0% |
| http://nasqar.abudhabi.nyu.edu | 2 | 1.0% |
| https://arc85.github.io/celltalker | 1 | 0.5% |
| https://combine-lab.github.io/salmon | 1 | 0.5% |
| https://support.10xgenomics.com/single-cell-gene-expression/software/overview/welcome | 1 | 0.5% |
| https://biofam.github.io/mofa2 | 1 | 0.5% |
| https://pydance.readthedocs.io | 1 | 0.5% |
| https://arrow.apache.org | 1 | 0.5% |
| http://www.duckdb.org | 1 | 0.5% |
| Other values (195) | 195 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 763 | 9.4% |
| / | 732 | 9.0% |
| s | 494 | 6.1% |
| i | 477 | 5.9% |
| o | 466 | 5.8% |
| e | 415 | 5.1% |
| . | 411 | 5.1% |
| h | 409 | 5.1% |
| a | 368 | 4.5% |
| p | 311 | 3.8% |
| Other values (55) | 3251 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6112 | |
| Other Punctuation | 1349 | 16.7% |
| Decimal Number | 291 | 3.6% |
| Uppercase Letter | 201 | 2.5% |
| Dash Punctuation | 125 | 1.5% |
| Connector Punctuation | 17 | 0.2% |
| Open Punctuation | 1 | < 0.1% |
| Close Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 763 | |
| s | 494 | 8.1% |
| i | 477 | 7.8% |
| o | 466 | 7.6% |
| e | 415 | 6.8% |
| h | 409 | 6.7% |
| a | 368 | 6.0% |
| p | 311 | 5.1% |
| c | 296 | 4.8% |
| r | 285 | 4.7% |
| Other values (16) | 1828 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 29 | |
| S | 27 | |
| A | 23 | |
| R | 16 | 8.0% |
| M | 11 | 5.5% |
| T | 10 | 5.0% |
| D | 9 | 4.5% |
| I | 9 | 4.5% |
| O | 9 | 4.5% |
| N | 9 | 4.5% |
| Other values (12) | 49 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 63 | |
| 0 | 58 | |
| 2 | 42 | |
| 3 | 23 | 7.9% |
| 4 | 22 | 7.6% |
| 6 | 19 | 6.5% |
| 8 | 17 | 5.8% |
| 9 | 16 | 5.5% |
| 7 | 16 | 5.5% |
| 5 | 15 | 5.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 732 | |
| . | 411 | |
| : | 206 | 15.3% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 125 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 17 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6313 | |
| Common | 1784 | 22.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 763 | 12.1% |
| s | 494 | 7.8% |
| i | 477 | 7.6% |
| o | 466 | 7.4% |
| e | 415 | 6.6% |
| h | 409 | 6.5% |
| a | 368 | 5.8% |
| p | 311 | 4.9% |
| c | 296 | 4.7% |
| r | 285 | 4.5% |
| Other values (38) | 2029 |
Common
| Value | Count | Frequency (%) |
| / | 732 | |
| . | 411 | |
| : | 206 | 11.5% |
| - | 125 | 7.0% |
| 1 | 63 | 3.5% |
| 0 | 58 | 3.3% |
| 2 | 42 | 2.4% |
| 3 | 23 | 1.3% |
| 4 | 22 | 1.2% |
| 6 | 19 | 1.1% |
| Other values (7) | 83 | 4.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8097 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 763 | 9.4% |
| / | 732 | 9.0% |
| s | 494 | 6.1% |
| i | 477 | 5.9% |
| o | 466 | 5.8% |
| e | 415 | 5.1% |
| . | 411 | 5.1% |
| h | 409 | 5.1% |
| a | 368 | 4.5% |
| p | 311 | 3.8% |
| Other values (55) | 3251 |
Project Repo URL
Text
| Distinct | 1123 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Length
| Max length | 157 |
|---|---|
| Median length | 92 |
| Mean length | 45.162522 |
| Min length | 28 |
Characters and Unicode
| Total characters | 50853 |
|---|---|
| Distinct characters | 67 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1120 ? |
|---|---|
| Unique (%) | 99.5% |
Sample
| 1st row | https://github.com/pandas-dev/pandas |
|---|---|
| 2nd row | https://github.com/numpy/numpy |
| 3rd row | https://github.com/apache/arrow |
| 4th row | https://github.com/duckdb/duckdb |
| 5th row | https://github.com/apache/parquet-mr |
| Value | Count | Frequency (%) |
| https://github.com/scverse/scvi-tools | 2 | 0.2% |
| https://github.com/scverse/scanpy | 2 | 0.2% |
| https://github.com/shians/cellbench | 2 | 0.2% |
| https://github.com/lmassier/hwat_singlecell | 1 | 0.1% |
| https://github.com/qupath/qupath | 1 | 0.1% |
| https://github.com/apache/parquet-mr | 1 | 0.1% |
| https://github.com/snakemake/snakemake | 1 | 0.1% |
| https://github.com/satijalab/seurat | 1 | 0.1% |
| https://github.com/napari/napari | 1 | 0.1% |
| https://github.com/milaboratory/mixcr | 1 | 0.1% |
| Other values (1113) | 1113 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 4504 | 8.9% |
| t | 4414 | 8.7% |
| i | 3038 | 6.0% |
| s | 2952 | 5.8% |
| h | 2817 | 5.5% |
| o | 2446 | 4.8% |
| c | 2311 | 4.5% |
| e | 2218 | 4.4% |
| a | 2210 | 4.3% |
| l | 1918 | 3.8% |
| Other values (57) | 22025 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 38064 | |
| Other Punctuation | 6776 | 13.3% |
| Uppercase Letter | 3741 | 7.4% |
| Dash Punctuation | 1106 | 2.2% |
| Decimal Number | 737 | 1.4% |
| Connector Punctuation | 429 | 0.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 4414 | 11.6% |
| i | 3038 | 8.0% |
| s | 2952 | 7.8% |
| h | 2817 | 7.4% |
| o | 2446 | 6.4% |
| c | 2311 | 6.1% |
| e | 2218 | 5.8% |
| a | 2210 | 5.8% |
| l | 1918 | 5.0% |
| g | 1820 | 4.8% |
| Other values (16) | 11920 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 476 | |
| C | 465 | |
| S | 452 | |
| R | 256 | 6.8% |
| N | 238 | 6.4% |
| M | 194 | 5.2% |
| L | 173 | 4.6% |
| T | 173 | 4.6% |
| I | 157 | 4.2% |
| P | 157 | 4.2% |
| Other values (16) | 1000 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 196 | |
| 0 | 152 | |
| 1 | 126 | |
| 9 | 54 | 7.3% |
| 3 | 47 | 6.4% |
| 8 | 43 | 5.8% |
| 4 | 39 | 5.3% |
| 7 | 31 | 4.2% |
| 5 | 27 | 3.7% |
| 6 | 22 | 3.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 4504 | |
| . | 1146 | 16.9% |
| : | 1126 | 16.6% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1106 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 429 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 41805 | |
| Common | 9048 | 17.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 4414 | 10.6% |
| i | 3038 | 7.3% |
| s | 2952 | 7.1% |
| h | 2817 | 6.7% |
| o | 2446 | 5.9% |
| c | 2311 | 5.5% |
| e | 2218 | 5.3% |
| a | 2210 | 5.3% |
| l | 1918 | 4.6% |
| g | 1820 | 4.4% |
| Other values (42) | 15661 |
Common
| Value | Count | Frequency (%) |
| / | 4504 | |
| . | 1146 | 12.7% |
| : | 1126 | 12.4% |
| - | 1106 | 12.2% |
| _ | 429 | 4.7% |
| 2 | 196 | 2.2% |
| 0 | 152 | 1.7% |
| 1 | 126 | 1.4% |
| 9 | 54 | 0.6% |
| 3 | 47 | 0.5% |
| Other values (5) | 162 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 50853 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 4504 | 8.9% |
| t | 4414 | 8.7% |
| i | 3038 | 6.0% |
| s | 2952 | 5.8% |
| h | 2817 | 5.5% |
| o | 2446 | 4.8% |
| c | 2311 | 4.5% |
| e | 2218 | 4.4% |
| a | 2210 | 4.3% |
| l | 1918 | 3.8% |
| Other values (57) | 22025 |
Project Landscape Category
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
GitHub Stars
Real number (ℝ)
HIGH CORRELATION SKEWED ZEROS
| Distinct | 160 |
|---|---|
| Distinct (%) | 14.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 120.66252 |
| Minimum | 0 |
|---|---|
| Maximum | 40001 |
| Zeros | 44 |
| Zeros (%) | 3.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 3 |
| Q3 | 16.75 |
| 95-th percentile | 200.75 |
| Maximum | 40001 |
| Range | 40001 |
| Interquartile range (IQR) | 15.75 |
Descriptive statistics
| Standard deviation | 1502.7525 |
|---|---|
| Coefficient of variation (CV) | 12.454178 |
| Kurtosis | 512.5955 |
| Mean | 120.66252 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 21.549624 |
| Sum | 135866 |
| Variance | 2258265.2 |
| Monotonicity | Decreasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 316 | |
| 2 | 130 | 11.5% |
| 3 | 88 | 7.8% |
| 4 | 66 | 5.9% |
| 0 | 44 | 3.9% |
| 5 | 39 | 3.5% |
| 6 | 28 | 2.5% |
| 8 | 24 | 2.1% |
| 7 | 20 | 1.8% |
| 9 | 19 | 1.7% |
| Other values (150) | 352 |
| Value | Count | Frequency (%) |
| 0 | 44 | 3.9% |
| 1 | 316 | |
| 2 | 130 | |
| 3 | 88 | 7.8% |
| 4 | 66 | 5.9% |
| 5 | 39 | 3.5% |
| 6 | 28 | 2.5% |
| 7 | 20 | 1.8% |
| 8 | 24 | 2.1% |
| 9 | 19 | 1.7% |
| Value | Count | Frequency (%) |
| 40001 | 1 | |
| 24720 | 1 | |
| 12603 | 1 | |
| 12351 | 1 | |
| 2176 | 1 | |
| 1952 | 1 | |
| 1947 | 1 | |
| 1912 | 1 | |
| 1609 | 2 | |
| 1591 | 1 |
GitHub Forks
Real number (ℝ)
HIGH CORRELATION SKEWED ZEROS
| Distinct | 95 |
|---|---|
| Distinct (%) | 8.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39.596803 |
| Minimum | 0 |
|---|---|
| Maximum | 16798 |
| Zeros | 434 |
| Zeros (%) | 38.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 6 |
| 95-th percentile | 55 |
| Maximum | 16798 |
| Range | 16798 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 574.12105 |
|---|---|
| Coefficient of variation (CV) | 14.499177 |
| Kurtosis | 691.58875 |
| Mean | 39.596803 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 25.300073 |
| Sum | 44586 |
| Variance | 329614.98 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 434 | |
| 1 | 168 | 14.9% |
| 2 | 103 | 9.1% |
| 3 | 64 | 5.7% |
| 4 | 45 | 4.0% |
| 6 | 30 | 2.7% |
| 5 | 26 | 2.3% |
| 8 | 23 | 2.0% |
| 7 | 18 | 1.6% |
| 9 | 18 | 1.6% |
| Other values (85) | 197 |
| Value | Count | Frequency (%) |
| 0 | 434 | |
| 1 | 168 | 14.9% |
| 2 | 103 | 9.1% |
| 3 | 64 | 5.7% |
| 4 | 45 | 4.0% |
| 5 | 26 | 2.3% |
| 6 | 30 | 2.7% |
| 7 | 18 | 1.6% |
| 8 | 23 | 2.0% |
| 9 | 18 | 1.6% |
| Value | Count | Frequency (%) |
| 16798 | 1 | |
| 8644 | 1 | |
| 3094 | 1 | |
| 1332 | 1 | |
| 1154 | 1 | |
| 850 | 1 | |
| 535 | 2 | |
| 475 | 1 | |
| 471 | 1 | |
| 422 | 1 |
GitHub Watchers
Real number (ℝ)
HIGH CORRELATION SKEWED ZEROS
| Distinct | 46 |
|---|---|
| Distinct (%) | 4.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.2886323 |
| Minimum | 0 |
|---|---|
| Maximum | 1121 |
| Zeros | 52 |
| Zeros (%) | 4.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 15 |
| Maximum | 1121 |
| Range | 1121 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 39.998302 |
|---|---|
| Coefficient of variation (CV) | 6.3604135 |
| Kurtosis | 583.16569 |
| Mean | 6.2886323 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 22.764991 |
| Sum | 7081 |
| Variance | 1599.8642 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 1 | 362 | |
| 2 | 247 | |
| 3 | 117 | 10.4% |
| 4 | 74 | 6.6% |
| 0 | 52 | 4.6% |
| 5 | 48 | 4.3% |
| 6 | 37 | 3.3% |
| 7 | 34 | 3.0% |
| 8 | 24 | 2.1% |
| 9 | 19 | 1.7% |
| Other values (36) | 112 | 9.9% |
| Value | Count | Frequency (%) |
| 0 | 52 | 4.6% |
| 1 | 362 | |
| 2 | 247 | |
| 3 | 117 | 10.4% |
| 4 | 74 | 6.6% |
| 5 | 48 | 4.3% |
| 6 | 37 | 3.3% |
| 7 | 34 | 3.0% |
| 8 | 24 | 2.1% |
| 9 | 19 | 1.7% |
| Value | Count | Frequency (%) |
| 1121 | 1 | |
| 595 | 1 | |
| 351 | 1 | |
| 156 | 1 | |
| 95 | 1 | |
| 86 | 1 | |
| 78 | 1 | |
| 54 | 1 | |
| 51 | 2 | |
| 49 | 1 |
GitHub Open Issues
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 80 |
|---|---|
| Distinct (%) | 7.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.023091 |
| Minimum | 0 |
|---|---|
| Maximum | 3902 |
| Zeros | 675 |
| Zeros (%) | 59.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 33 |
| Maximum | 3902 |
| Range | 3902 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 181.18356 |
|---|---|
| Coefficient of variation (CV) | 9.5244021 |
| Kurtosis | 348.40907 |
| Mean | 19.023091 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 17.798596 |
| Sum | 21420 |
| Variance | 32827.484 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 675 | |
| 1 | 125 | 11.1% |
| 2 | 51 | 4.5% |
| 3 | 34 | 3.0% |
| 4 | 27 | 2.4% |
| 6 | 27 | 2.4% |
| 8 | 15 | 1.3% |
| 5 | 13 | 1.2% |
| 7 | 12 | 1.1% |
| 19 | 9 | 0.8% |
| Other values (70) | 138 | 12.3% |
| Value | Count | Frequency (%) |
| 0 | 675 | |
| 1 | 125 | 11.1% |
| 2 | 51 | 4.5% |
| 3 | 34 | 3.0% |
| 4 | 27 | 2.4% |
| 5 | 13 | 1.2% |
| 6 | 27 | 2.4% |
| 7 | 12 | 1.1% |
| 8 | 15 | 1.3% |
| 9 | 7 | 0.6% |
| Value | Count | Frequency (%) |
| 3902 | 1 | |
| 3640 | 1 | |
| 2196 | 1 | |
| 1020 | 1 | |
| 905 | 1 | |
| 701 | 1 | |
| 555 | 2 | |
| 422 | 1 | |
| 358 | 1 | |
| 321 | 1 |
GitHub Contributors
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 38 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.7575488 |
| Minimum | 0 |
|---|---|
| Maximum | 435 |
| Zeros | 27 |
| Zeros (%) | 2.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 10 |
| Maximum | 435 |
| Range | 435 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 25.675043 |
|---|---|
| Coefficient of variation (CV) | 5.3966956 |
| Kurtosis | 182.39928 |
| Mean | 4.7575488 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 12.845713 |
| Sum | 5357 |
| Variance | 659.20783 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 1 | 659 | |
| 2 | 143 | 12.7% |
| 3 | 102 | 9.1% |
| 4 | 60 | 5.3% |
| 5 | 29 | 2.6% |
| 0 | 27 | 2.4% |
| 6 | 16 | 1.4% |
| 7 | 11 | 1.0% |
| 10 | 10 | 0.9% |
| 11 | 10 | 0.9% |
| Other values (28) | 59 | 5.2% |
| Value | Count | Frequency (%) |
| 0 | 27 | 2.4% |
| 1 | 659 | |
| 2 | 143 | 12.7% |
| 3 | 102 | 9.1% |
| 4 | 60 | 5.3% |
| 5 | 29 | 2.6% |
| 6 | 16 | 1.4% |
| 7 | 11 | 1.0% |
| 8 | 9 | 0.8% |
| 9 | 8 | 0.7% |
| Value | Count | Frequency (%) |
| 435 | 1 | |
| 411 | 1 | |
| 366 | 1 | |
| 280 | 1 | |
| 253 | 1 | |
| 189 | 1 | |
| 150 | 1 | |
| 123 | 2 | |
| 83 | 1 | |
| 79 | 1 |
GitHub License Type
Categorical
MISSING
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 551 |
| Missing (%) | 48.9% |
| Memory size | 8.9 KiB |
| MIT | |
|---|---|
| GPL-3.0 | |
| NOASSERTION | |
| BSD-3-Clause | |
| Apache-2.0 | |
| Other values (10) |
Length
| Max length | 18 |
|---|---|
| Median length | 12 |
| Mean length | 6.76 |
| Min length | 3 |
Characters and Unicode
| Total characters | 3887 |
|---|---|
| Distinct characters | 36 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 0.7% |
Sample
| 1st row | BSD-3-Clause |
|---|---|
| 2nd row | BSD-3-Clause |
| 3rd row | Apache-2.0 |
| 4th row | MIT |
| 5th row | Apache-2.0 |
Common Values
| Value | Count | Frequency (%) |
| MIT | 211 | 18.7% |
| GPL-3.0 | 164 | 14.6% |
| NOASSERTION | 73 | 6.5% |
| BSD-3-Clause | 51 | 4.5% |
| Apache-2.0 | 29 | 2.6% |
| CC0-1.0 | 13 | 1.2% |
| AGPL-3.0 | 9 | 0.8% |
| BSD-2-Clause | 7 | 0.6% |
| GPL-2.0 | 7 | 0.6% |
| LGPL-3.0 | 4 | 0.4% |
| Other values (5) | 7 | 0.6% |
| (Missing) | 551 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| mit | 211 | |
| gpl-3.0 | 164 | |
| noassertion | 73 | 12.7% |
| bsd-3-clause | 51 | 8.9% |
| apache-2.0 | 29 | 5.0% |
| cc0-1.0 | 13 | 2.3% |
| agpl-3.0 | 9 | 1.6% |
| bsd-2-clause | 7 | 1.2% |
| gpl-2.0 | 7 | 1.2% |
| lgpl-3.0 | 4 | 0.7% |
| Other values (5) | 7 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| - | 353 | 9.1% |
| I | 284 | 7.3% |
| T | 284 | 7.3% |
| 0 | 244 | 6.3% |
| . | 231 | 5.9% |
| 3 | 229 | 5.9% |
| M | 212 | 5.5% |
| S | 205 | 5.3% |
| L | 189 | 4.9% |
| P | 185 | 4.8% |
| Other values (26) | 1471 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 2310 | |
| Decimal Number | 534 | 13.7% |
| Lowercase Letter | 459 | 11.8% |
| Dash Punctuation | 353 | 9.1% |
| Other Punctuation | 231 | 5.9% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| I | 284 | |
| T | 284 | |
| M | 212 | |
| S | 205 | |
| L | 189 | |
| P | 185 | |
| G | 184 | |
| N | 146 | |
| O | 146 | |
| A | 112 | 4.8% |
| Other values (7) | 363 |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 91 | |
| a | 89 | |
| l | 61 | |
| s | 61 | |
| u | 59 | |
| c | 31 | 6.8% |
| h | 29 | 6.3% |
| p | 29 | 6.3% |
| i | 3 | 0.7% |
| r | 2 | 0.4% |
| Other values (2) | 4 | 0.9% |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 244 | |
| 3 | 229 | |
| 2 | 45 | 8.4% |
| 1 | 13 | 2.4% |
| 4 | 3 | 0.6% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 353 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 231 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2769 | |
| Common | 1118 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| I | 284 | 10.3% |
| T | 284 | 10.3% |
| M | 212 | 7.7% |
| S | 205 | 7.4% |
| L | 189 | 6.8% |
| P | 185 | 6.7% |
| G | 184 | 6.6% |
| N | 146 | 5.3% |
| O | 146 | 5.3% |
| A | 112 | 4.0% |
| Other values (19) | 822 |
Common
| Value | Count | Frequency (%) |
| - | 353 | |
| 0 | 244 | |
| . | 231 | |
| 3 | 229 | |
| 2 | 45 | 4.0% |
| 1 | 13 | 1.2% |
| 4 | 3 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3887 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| - | 353 | 9.1% |
| I | 284 | 7.3% |
| T | 284 | 7.3% |
| 0 | 244 | 6.3% |
| . | 231 | 5.9% |
| 3 | 229 | 5.9% |
| M | 212 | 5.5% |
| S | 205 | 5.3% |
| L | 189 | 4.9% |
| P | 185 | 4.8% |
| Other values (26) | 1471 |
MISSING
| Distinct | 1057 |
|---|---|
| Distinct (%) | 98.6% |
| Missing | 54 |
| Missing (%) | 4.8% |
| Memory size | 8.9 KiB |
Length
| Max length | 10997 |
|---|---|
| Median length | 343 |
| Mean length | 134.00653 |
| Min length | 7 |
Characters and Unicode
| Total characters | 143655 |
|---|---|
| Distinct characters | 111 |
| Distinct categories | 16 ? |
| Distinct scripts | 5 ? |
| Distinct blocks | 6 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1042 ? |
|---|---|
| Unique (%) | 97.2% |
Sample
| 1st row | Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more |
|---|---|
| 2nd row | The fundamental package for scientific computing with Python. |
| 3rd row | Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing |
| 4th row | DuckDB is an in-process SQL OLAP Database Management System |
| 5th row | Apache Parquet |
| Value | Count | Frequency (%) |
| analysis | 954 | 4.7% |
| of | 791 | 3.9% |
| and | 673 | 3.3% |
| the | 671 | 3.3% |
| for | 655 | 3.2% |
| cell | 518 | 2.6% |
| single-cell | 470 | 2.3% |
| data | 453 | 2.2% |
| single | 397 | 2.0% |
| a | 367 | 1.8% |
| Other values (4026) | 14207 |
Most occurring characters
| Value | Count | Frequency (%) |
| 19231 | ||
| e | 12713 | 8.8% |
| a | 9950 | 6.9% |
| i | 9848 | 6.9% |
| n | 8865 | 6.2% |
| s | 8753 | 6.1% |
| l | 8246 | 5.7% |
| o | 7935 | 5.5% |
| t | 7907 | 5.5% |
| r | 6172 | 4.3% |
| Other values (101) | 44035 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 111888 | |
| Space Separator | 19270 | 13.4% |
| Uppercase Letter | 7164 | 5.0% |
| Other Punctuation | 2203 | 1.5% |
| Dash Punctuation | 1309 | 0.9% |
| Decimal Number | 1209 | 0.8% |
| Close Punctuation | 235 | 0.2% |
| Open Punctuation | 229 | 0.2% |
| Math Symbol | 52 | < 0.1% |
| Final Punctuation | 40 | < 0.1% |
| Other values (6) | 56 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 12713 | |
| a | 9950 | 8.9% |
| i | 9848 | 8.8% |
| n | 8865 | 7.9% |
| s | 8753 | 7.8% |
| l | 8246 | 7.4% |
| o | 7935 | 7.1% |
| t | 7907 | 7.1% |
| r | 6172 | 5.5% |
| c | 4977 | 4.4% |
| Other values (19) | 26522 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 1115 | |
| S | 778 | |
| R | 736 | |
| C | 707 | |
| N | 605 | 8.4% |
| T | 409 | 5.7% |
| D | 360 | 5.0% |
| P | 330 | 4.6% |
| I | 320 | 4.5% |
| M | 290 | 4.0% |
| Other values (16) | 1514 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 912 | |
| , | 625 | |
| : | 187 | 8.5% |
| / | 177 | 8.0% |
| " | 169 | 7.7% |
| % | 40 | 1.8% |
| ' | 36 | 1.6% |
| ; | 18 | 0.8% |
| & | 14 | 0.6% |
| @ | 7 | 0.3% |
| Other values (4) | 18 | 0.8% |
Other Symbol
| Value | Count | Frequency (%) |
| ▪ | 6 | |
| 🐟 | 1 | 6.2% |
| 🏔 | 1 | 6.2% |
| 🌍 | 1 | 6.2% |
| 🍱 | 1 | 6.2% |
| 🍣 | 1 | 6.2% |
| 🧬 | 1 | 6.2% |
| 🦀 | 1 | 6.2% |
| 🌸 | 1 | 6.2% |
| 🧫 | 1 | 6.2% |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 264 | |
| 0 | 255 | |
| 1 | 211 | |
| 3 | 94 | 7.8% |
| 9 | 88 | 7.3% |
| 7 | 70 | 5.8% |
| 5 | 70 | 5.8% |
| 4 | 64 | 5.3% |
| 8 | 48 | 4.0% |
| 6 | 45 | 3.7% |
Math Symbol
| Value | Count | Frequency (%) |
| = | 22 | |
| + | 15 | |
| > | 10 | |
| < | 4 | 7.7% |
| ~ | 1 | 1.9% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1305 | |
| – | 2 | 0.2% |
| — | 2 | 0.2% |
Space Separator
| Value | Count | Frequency (%) |
| 19231 | ||
| 39 | 0.2% |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 232 | |
| ] | 3 | 1.3% |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 226 | |
| [ | 3 | 1.3% |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 32 | |
| ” | 8 | 20.0% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 29 |
Initial Punctuation
| Value | Count | Frequency (%) |
| “ | 8 |
Nonspacing Mark
| Value | Count | Frequency (%) |
| ️ | 1 |
Other Letter
| Value | Count | Frequency (%) |
| 桜 | 1 |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 119051 | |
| Common | 24601 | 17.1% |
| Greek | 1 | < 0.1% |
| Inherited | 1 | < 0.1% |
| Han | 1 | < 0.1% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 19231 | ||
| - | 1305 | 5.3% |
| . | 912 | 3.7% |
| , | 625 | 2.5% |
| 2 | 264 | 1.1% |
| 0 | 255 | 1.0% |
| ) | 232 | 0.9% |
| ( | 226 | 0.9% |
| 1 | 211 | 0.9% |
| : | 187 | 0.8% |
| Other values (44) | 1153 | 4.7% |
Latin
| Value | Count | Frequency (%) |
| e | 12713 | 10.7% |
| a | 9950 | 8.4% |
| i | 9848 | 8.3% |
| n | 8865 | 7.4% |
| s | 8753 | 7.4% |
| l | 8246 | 6.9% |
| o | 7935 | 6.7% |
| t | 7907 | 6.6% |
| r | 6172 | 5.2% |
| c | 4977 | 4.2% |
| Other values (44) | 33685 |
Greek
| Value | Count | Frequency (%) |
| α | 1 |
Inherited
| Value | Count | Frequency (%) |
| ️ | 1 |
Han
| Value | Count | Frequency (%) |
| 桜 | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 143541 | |
| None | 54 | < 0.1% |
| Punctuation | 52 | < 0.1% |
| Geometric Shapes | 6 | < 0.1% |
| VS | 1 | < 0.1% |
| CJK | 1 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 19231 | ||
| e | 12713 | 8.9% |
| a | 9950 | 6.9% |
| i | 9848 | 6.9% |
| n | 8865 | 6.2% |
| s | 8753 | 6.1% |
| l | 8246 | 5.7% |
| o | 7935 | 5.5% |
| t | 7907 | 5.5% |
| r | 6172 | 4.3% |
| Other values (79) | 43921 |
None
| Value | Count | Frequency (%) |
| 39 | ||
| ü | 3 | 5.6% |
| α | 1 | 1.9% |
| 🐟 | 1 | 1.9% |
| 🏔 | 1 | 1.9% |
| 🌍 | 1 | 1.9% |
| 🍱 | 1 | 1.9% |
| 🍣 | 1 | 1.9% |
| 🧬 | 1 | 1.9% |
| é | 1 | 1.9% |
| Other values (4) | 4 | 7.4% |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 32 | |
| “ | 8 | 15.4% |
| ” | 8 | 15.4% |
| – | 2 | 3.8% |
| — | 2 | 3.8% |
Geometric Shapes
| Value | Count | Frequency (%) |
| ▪ | 6 |
VS
| Value | Count | Frequency (%) |
| ️ | 1 |
CJK
| Value | Count | Frequency (%) |
| 桜 | 1 |
GitHub Topics
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
GitHub Detected Languages
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Date Created
Date
| Distinct | 1123 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
| Minimum | 2010-08-24 01:37:33+00:00 |
|---|---|
| Maximum | 2023-10-10 14:24:36+00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 1123 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
| Minimum | 2011-06-21 13:44:00+00:00 |
|---|---|
| Maximum | 2023-10-13 20:03:44+00:00 |
Histogram with fixed size bins (bins=50)
Duration Created to Most Recent Commit
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Duration Created to Now
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Duration Most Recent Commit to Now
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
Repository Size (KB)
Real number (ℝ)
| Distinct | 1011 |
|---|---|
| Distinct (%) | 89.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 75387.096 |
| Minimum | 1 |
|---|---|
| Maximum | 1922901 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 17 |
| Q1 | 690 |
| median | 10750 |
| Q3 | 65061.5 |
| 95-th percentile | 360071.5 |
| Maximum | 1922901 |
| Range | 1922900 |
| Interquartile range (IQR) | 64371.5 |
Descriptive statistics
| Standard deviation | 185888.96 |
|---|---|
| Coefficient of variation (CV) | 2.4657928 |
| Kurtosis | 40.079747 |
| Mean | 75387.096 |
| Median Absolute Deviation (MAD) | 10709.5 |
| Skewness | 5.5510527 |
| Sum | 84885870 |
| Variance | 3.4554705 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6 | 10 | 0.9% |
| 26 | 7 | 0.6% |
| 13 | 6 | 0.5% |
| 3 | 6 | 0.5% |
| 24 | 6 | 0.5% |
| 67 | 5 | 0.4% |
| 16 | 5 | 0.4% |
| 19 | 4 | 0.4% |
| 17 | 4 | 0.4% |
| 22 | 4 | 0.4% |
| Other values (1001) | 1069 |
| Value | Count | Frequency (%) |
| 1 | 2 | 0.2% |
| 2 | 2 | 0.2% |
| 3 | 6 | |
| 4 | 3 | 0.3% |
| 5 | 3 | 0.3% |
| 6 | 10 | |
| 7 | 3 | 0.3% |
| 8 | 3 | 0.3% |
| 9 | 3 | 0.3% |
| 10 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1922901 | 1 | |
| 1921765 | 1 | |
| 1792729 | 1 | |
| 1590023 | 1 | |
| 1496132 | 1 | |
| 1461986 | 1 | |
| 1447466 | 1 | |
| 1293566 | 1 | |
| 1245051 | 1 | |
| 1068214 | 1 |
GitHub Repo Archived
Boolean
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.2 KiB |
| False | |
|---|---|
| True | 13 |
| Value | Count | Frequency (%) |
| False | 1113 | |
| True | 13 | 1.2% |
Negative Duration Most Recent Commit to Now
Unsupported
REJECTED UNSUPPORTED
| Missing | 0 |
|---|---|
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
category
Categorical
IMBALANCE
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.9 KiB |
| related-tools-github-query-result | |
|---|---|
| cytomining-ecosystem-adjacent-tools | 100 |
| cytomining-ecosystem-relevant-open-source | 8 |
| microscopy-analysis-tools | 7 |
| loi-focus | 4 |
Length
| Max length | 41 |
|---|---|
| Median length | 33 |
| Mean length | 33.099467 |
| Min length | 9 |
Characters and Unicode
| Total characters | 37270 |
|---|---|
| Distinct characters | 23 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | cytomining-ecosystem-relevant-open-source |
|---|---|
| 2nd row | cytomining-ecosystem-relevant-open-source |
| 3rd row | cytomining-ecosystem-relevant-open-source |
| 4th row | cytomining-ecosystem-relevant-open-source |
| 5th row | cytomining-ecosystem-relevant-open-source |
Common Values
| Value | Count | Frequency (%) |
| related-tools-github-query-result | 1007 | |
| cytomining-ecosystem-adjacent-tools | 100 | 8.9% |
| cytomining-ecosystem-relevant-open-source | 8 | 0.7% |
| microscopy-analysis-tools | 7 | 0.6% |
| loi-focus | 4 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| related-tools-github-query-result | 1007 | |
| cytomining-ecosystem-adjacent-tools | 100 | 8.9% |
| cytomining-ecosystem-relevant-open-source | 8 | 0.7% |
| microscopy-analysis-tools | 7 | 0.6% |
| loi-focus | 4 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 4459 | |
| - | 4378 | |
| e | 4376 | |
| l | 3147 | |
| r | 3044 | |
| u | 3033 | |
| o | 2482 | 6.7% |
| s | 2370 | 6.4% |
| i | 1241 | 3.3% |
| y | 1237 | 3.3% |
| Other values (13) | 7503 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 32892 | |
| Dash Punctuation | 4378 | 11.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 4459 | |
| e | 4376 | |
| l | 3147 | |
| r | 3044 | |
| u | 3033 | |
| o | 2482 | 7.5% |
| s | 2370 | 7.2% |
| i | 1241 | 3.8% |
| y | 1237 | 3.8% |
| a | 1229 | 3.7% |
| Other values (12) | 6274 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 4378 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 32892 | |
| Common | 4378 | 11.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 4459 | |
| e | 4376 | |
| l | 3147 | |
| r | 3044 | |
| u | 3033 | |
| o | 2482 | 7.5% |
| s | 2370 | 7.2% |
| i | 1241 | 3.8% |
| y | 1237 | 3.8% |
| a | 1229 | 3.7% |
| Other values (12) | 6274 |
Common
| Value | Count | Frequency (%) |
| - | 4378 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 37270 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 4459 | |
| - | 4378 | |
| e | 4376 | |
| l | 3147 | |
| r | 3044 | |
| u | 3033 | |
| o | 2482 | 6.7% |
| s | 2370 | 6.4% |
| i | 1241 | 3.3% |
| y | 1237 | 3.3% |
| Other values (13) | 7503 |
Duration Created to Now in Years
Real number (ℝ)
| Distinct | 917 |
|---|---|
| Distinct (%) | 81.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.8485316 |
| Minimum | 0.01369863 |
|---|---|
| Maximum | 13.153425 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 0.01369863 |
|---|---|
| 5-th percentile | 0.64178082 |
| Q1 | 2.2369863 |
| median | 3.5424658 |
| Q3 | 5.2883562 |
| 95-th percentile | 7.8075342 |
| Maximum | 13.153425 |
| Range | 13.139726 |
| Interquartile range (IQR) | 3.0513699 |
Descriptive statistics
| Standard deviation | 2.2611527 |
|---|---|
| Coefficient of variation (CV) | 0.58753647 |
| Kurtosis | 0.81371944 |
| Mean | 3.8485316 |
| Median Absolute Deviation (MAD) | 1.4780822 |
| Skewness | 0.75989833 |
| Sum | 4333.4466 |
| Variance | 5.1128114 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.15890411 | 4 | 0.4% |
| 3.775342466 | 4 | 0.4% |
| 2.695890411 | 4 | 0.4% |
| 1.97260274 | 3 | 0.3% |
| 2.410958904 | 3 | 0.3% |
| 5.345205479 | 3 | 0.3% |
| 2.043835616 | 3 | 0.3% |
| 3.21369863 | 3 | 0.3% |
| 0.3945205479 | 3 | 0.3% |
| 3.315068493 | 3 | 0.3% |
| Other values (907) | 1093 |
| Value | Count | Frequency (%) |
| 0.01369863014 | 1 | |
| 0.09315068493 | 1 | |
| 0.09589041096 | 1 | |
| 0.1452054795 | 1 | |
| 0.1506849315 | 1 | |
| 0.1643835616 | 1 | |
| 0.1698630137 | 1 | |
| 0.1726027397 | 1 | |
| 0.1753424658 | 2 | |
| 0.2219178082 | 2 |
| Value | Count | Frequency (%) |
| 13.15342466 | 1 | |
| 13.09589041 | 1 | |
| 13.07671233 | 1 | |
| 12.53972603 | 1 | |
| 12.21643836 | 1 | |
| 12.1369863 | 1 | |
| 12.07671233 | 1 | |
| 11.28767123 | 1 | |
| 11.09863014 | 1 | |
| 10.60821918 | 1 |
| GitHub Stars | GitHub Forks | GitHub Watchers | GitHub Open Issues | GitHub Contributors | Repository Size (KB) | Duration Created to Now in Years | GitHub License Type | GitHub Repo Archived | category | |
|---|---|---|---|---|---|---|---|---|---|---|
| GitHub Stars | 1.000 | 0.820 | 0.646 | 0.689 | 0.539 | 0.399 | 0.370 | 0.000 | 0.000 | 0.404 |
| GitHub Forks | 0.820 | 1.000 | 0.630 | 0.666 | 0.556 | 0.382 | 0.419 | 0.000 | 0.000 | 0.348 |
| GitHub Watchers | 0.646 | 0.630 | 1.000 | 0.592 | 0.562 | 0.349 | 0.450 | 0.000 | 0.000 | 0.348 |
| GitHub Open Issues | 0.689 | 0.666 | 0.592 | 1.000 | 0.552 | 0.286 | 0.312 | 0.000 | 0.000 | 0.358 |
| GitHub Contributors | 0.539 | 0.556 | 0.562 | 0.552 | 1.000 | 0.394 | 0.253 | 0.000 | 0.000 | 0.482 |
| Repository Size (KB) | 0.399 | 0.382 | 0.349 | 0.286 | 0.394 | 1.000 | 0.143 | 0.000 | 0.000 | 0.046 |
| Duration Created to Now in Years | 0.370 | 0.419 | 0.450 | 0.312 | 0.253 | 0.143 | 1.000 | 0.103 | 0.101 | 0.297 |
| GitHub License Type | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.103 | 1.000 | 0.000 | 0.227 |
| GitHub Repo Archived | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.101 | 0.000 | 1.000 | 0.000 |
| category | 0.404 | 0.348 | 0.348 | 0.358 | 0.482 | 0.046 | 0.297 | 0.227 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| Project Name | Project Homepage | Project Repo URL | Project Landscape Category | GitHub Stars | GitHub Forks | GitHub Watchers | GitHub Open Issues | GitHub Contributors | GitHub License Type | GitHub Description | GitHub Topics | GitHub Detected Languages | Date Created | Date Most Recent Commit | Duration Created to Most Recent Commit | Duration Created to Now | Duration Most Recent Commit to Now | Repository Size (KB) | GitHub Repo Archived | Negative Duration Most Recent Commit to Now | category | Duration Created to Now in Years | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | pandas | https://pandas.pydata.org | https://github.com/pandas-dev/pandas | [cytomining-ecosystem-relevant-open-source] | 40001 | 16798 | 1121 | 3640 | 411 | BSD-3-Clause | Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | [alignment, data-analysis, data-science, flexible, pandas, python] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 386224.0, 'C#': None, 'C++': None, 'CMake': None, 'CSS': 6804.0, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': 1277471.0, 'D': None, 'Dockerfile': 5751.0, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': 457000.0, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': 10664.0, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 20322774.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 14392.0, 'Singularity': None, 'Smarty': 8486.0, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': 1196.0, 'eC': None, 'sed': None} | 2010-08-24 01:37:33+00:00 | 2023-10-13 20:03:44+00:00 | 4798 days 18:26:11 | 4801 days 12:29:04.478835 | 0 days 00:00:19.235293 | 334934 | False | -1 days +23:59:40.764707 | cytomining-ecosystem-relevant-open-source | 13.153425 |
| 1 | numpy | https://numpy.org | https://github.com/numpy/numpy | [cytomining-ecosystem-relevant-open-source] | 24720 | 8644 | 595 | 2196 | 435 | BSD-3-Clause | The fundamental package for scientific computing with Python. | [numpy, python] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 6220070.0, 'C#': None, 'C++': 205725.0, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': 151476.0, 'D': 19.0, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': 3787.0, 'Fortran': 27683.0, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 1697.0, 'Mako': None, 'Mercury': None, 'Meson': 88875.0, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 10457640.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 17058.0, 'Singularity': None, 'Smarty': 4129.0, 'Stan': None, 'Standard ML': None, 'Starlark': 1842.0, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': 5699.0} | 2010-09-13 23:02:39+00:00 | 2023-10-13 19:01:51+00:00 | 4777 days 19:59:12 | 4780 days 15:03:58.478835 | 0 days 01:02:12.235293 | 131862 | False | -1 days +22:57:47.764707 | cytomining-ecosystem-relevant-open-source | 13.095890 |
| 2 | arrow | https://arrow.apache.org/ | https://github.com/apache/arrow | [cytomining-ecosystem-relevant-open-source] | 12603 | 3094 | 351 | 3902 | 366 | Apache-2.0 | Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing | [arrow] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': 3709.0, 'Batchfile': 32824.0, 'C': 1507496.0, 'C#': 1505684.0, 'C++': 26858030.0, 'CMake': 732369.0, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': 1708430.0, 'D': None, 'Dockerfile': 135006.0, 'Emacs Lisp': 1064.0, 'Forth': None, 'Fortran': None, 'FreeMarker': 2312.0, 'Gnuplot': None, 'Go': 5619866.0, 'Groovy': None, 'HCL': None, 'HTML': 5604.0, 'Hack': None, 'ImageJ Macro': None, 'Java': 7353737.0, 'JavaScript': 128685.0, 'Jinja': 21888.0, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': 8771.0, 'M': None, 'M4': None, 'MATLAB': 722935.0, 'Makefile': 32659.0, 'Mako': None, 'Mercury': None, 'Meson': 62865.0, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': 11472.0, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 3288210.0, 'QMake': None, 'R': 1698163.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': 1794908.0, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 411223.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': 461913.0, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': 34537.0, 'TypeScript': 1108325.0, 'VBScript': None, 'Vala': 24798.0, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': 1256.0} | 2016-02-17 08:00:23+00:00 | 2023-10-13 17:57:49+00:00 | 2795 days 09:57:26 | 2798 days 06:06:14.478835 | 0 days 02:06:14.235293 | 170891 | False | -1 days +21:53:45.764707 | cytomining-ecosystem-relevant-open-source | 7.665753 |
| 3 | duckdb | http://www.duckdb.org | https://github.com/duckdb/duckdb | [cytomining-ecosystem-relevant-open-source] | 12351 | 1154 | 156 | 321 | 253 | MIT | DuckDB is an in-process SQL OLAP Database Management System | [analytics, database, embedded-database, olap, sql] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 1761733.0, 'C#': None, 'C++': 33575975.0, 'CMake': 146234.0, 'CSS': 182.0, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': 343518.0, 'JavaScript': 12990.0, 'Jinja': None, 'Julia': 250635.0, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 14649.0, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 1407102.0, 'QMake': None, 'R': 1693.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 26187.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': 282562.0, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-06-26 15:04:45+00:00 | 2023-10-13 13:57:33+00:00 | 1934 days 22:52:48 | 1937 days 23:01:52.478835 | 0 days 06:06:30.235293 | 226865 | False | -1 days +17:53:29.764707 | cytomining-ecosystem-relevant-open-source | 5.306849 |
| 4 | parquet-mr | https://github.com/apache/parquet-mr | [cytomining-ecosystem-relevant-open-source] | 2176 | 1332 | 95 | 130 | 189 | Apache-2.0 | Apache Parquet | [big-data, java, parquet] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': 5920194.0, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 14771.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': 8436.0, 'Scheme': None, 'Scilab': None, 'Shell': 14860.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': 10354.0, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2014-06-10 07:00:07+00:00 | 2023-10-13 15:48:32+00:00 | 3412 days 08:48:25 | 3415 days 07:06:30.478835 | 0 days 04:15:31.235293 | 18492 | False | -1 days +19:44:28.764707 | cytomining-ecosystem-relevant-open-source | 9.356164 | |
| 5 | snakemake | https://snakemake.readthedocs.io | https://github.com/snakemake/snakemake | [cytomining-ecosystem-relevant-open-source] | 1952 | 475 | 21 | 905 | 280 | MIT | This is the development home of the workflow management system Snakemake. For general information, see | [reproducibility, snakemake, workflow-management] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 1346.0, 'C#': None, 'C++': None, 'CMake': None, 'CSS': 3033.0, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': 1727.0, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': 3647966.0, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': 43973.0, 'Jinja': 6950.0, 'Julia': 334.0, 'Jupyter Notebook': 4389.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 4400.0, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': 5.0, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 1341162.0, 'QMake': None, 'R': 786.0, 'Raku': None, 'Reason': None, 'Rebol': 6.0, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': 6.0, 'Ruby': None, 'Rust': 3617.0, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 5149.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': 5722.0, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2019-10-04 14:58:11+00:00 | 2023-10-13 13:52:54+00:00 | 1469 days 22:54:43 | 1472 days 23:08:26.478835 | 0 days 06:11:09.235293 | 91896 | False | -1 days +17:48:50.764707 | cytomining-ecosystem-relevant-open-source | 4.032877 |
| 6 | seurat | http://www.satijalab.org/seurat | https://github.com/satijalab/seurat | [cytomining-ecosystem-adjacent-tools] | 1947 | 850 | 78 | 226 | 83 | NOASSERTION | R toolkit for single cell genomics | [cran, human-cell-atlas, single-cell-genomics, single-cell-rna-seq] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': 166.0, 'C#': None, 'C++': 103887.0, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': 1272988.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 942.0, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2015-05-20 05:23:02+00:00 | 2023-10-03 21:28:12+00:00 | 3058 days 16:05:10 | 3071 days 08:43:35.478835 | 9 days 22:35:51.235293 | 22722 | False | -10 days +01:24:08.764707 | cytomining-ecosystem-adjacent-tools | 8.413699 |
| 7 | napari | https://napari.org | https://github.com/napari/napari | [microscopy-analysis-tools] | 1912 | 389 | 49 | 1020 | 150 | BSD-3-Clause | napari: a fast, interactive, multi-dimensional image viewer for python | [napari, numpy, python, visualization] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': 465.0, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': 6722.0, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 4637489.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': 2846.0, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': 1221.0, 'Singularity': 95.0, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-08-13 01:12:28+00:00 | 2023-10-13 19:19:35+00:00 | 1887 days 18:07:07 | 1890 days 12:54:09.478835 | 0 days 00:44:28.235293 | 76651 | False | -1 days +23:15:31.764707 | microscopy-analysis-tools | 5.178082 |
| 8 | scanpy | https://scanpy.readthedocs.io | https://github.com/scverse/scanpy | [cytomining-ecosystem-adjacent-tools] | 1609 | 535 | 51 | 555 | 123 | BSD-3-Clause | Single-cell analysis in Python. Scales to >1M cells. | [anndata, bioinformatics, data-science, machine-learning, python, scanpy, scverse, transcriptomics, visualize-data] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 1291622.0, 'QMake': None, 'R': 2315.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2017-01-29 11:31:11+00:00 | 2023-10-13 13:56:56+00:00 | 2448 days 02:25:45 | 2451 days 02:35:26.478835 | 0 days 06:07:07.235293 | 39334 | False | -1 days +17:52:52.764707 | cytomining-ecosystem-adjacent-tools | 6.715068 |
| 9 | scanpy | https://scanpy.readthedocs.io | https://github.com/scverse/scanpy | [related-tools-github-query-result] | 1609 | 535 | 51 | 555 | 123 | BSD-3-Clause | Single-cell analysis in Python. Scales to >1M cells. | [anndata, bioinformatics, data-science, machine-learning, python, scanpy, scverse, transcriptomics, visualize-data] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 1291622.0, 'QMake': None, 'R': 2315.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2017-01-29 11:31:11+00:00 | 2023-10-13 13:56:56+00:00 | 2448 days 02:25:45 | 2451 days 02:35:26.478835 | 0 days 06:07:07.235293 | 39334 | False | -1 days +17:52:52.764707 | related-tools-github-query-result | 6.715068 |
| Project Name | Project Homepage | Project Repo URL | Project Landscape Category | GitHub Stars | GitHub Forks | GitHub Watchers | GitHub Open Issues | GitHub Contributors | GitHub License Type | GitHub Description | GitHub Topics | GitHub Detected Languages | Date Created | Date Most Recent Commit | Duration Created to Most Recent Commit | Duration Created to Now | Duration Most Recent Commit to Now | Repository Size (KB) | GitHub Repo Archived | Negative Duration Most Recent Commit to Now | category | Duration Created to Now in Years | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1116 | BloodVesselImageAnalysis | https://github.com/RoopaMadhu/BloodVesselImageAnalysis | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Spatiographic projections of biological systems | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 188297.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-12-22 12:36:17+00:00 | 2020-12-22 14:22:59+00:00 | 0 days 01:46:42 | 1028 days 01:30:20.478835 | 1025 days 05:41:04.235293 | 576 | False | -1026 days +18:18:55.764707 | related-tools-github-query-result | 2.816438 | |
| 1117 | SickleCellDataAnalysis | None | https://github.com/ridz46/SickleCellDataAnalysis | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | This repository contains the codes used for image processing and further downstream data analysis for the project on the development of a point-of-care diagnostic test for sickle cell disease. This repository is maintained by the Microfluidics & Biological Physics group, Department of Biosciences & Bioengineering, Indian Institute of Technology Bombay, Mumbai, India. | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': 4373.0, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-09-25 13:45:27+00:00 | 2020-09-28 08:55:24+00:00 | 2 days 19:09:57 | 1116 days 00:21:10.478835 | 1110 days 11:08:39.235293 | 17 | False | -1111 days +12:51:20.764707 | related-tools-github-query-result | 3.057534 |
| 1118 | Data-Analysis-AMATH-482 | None | https://github.com/priyanshir/Data-Analysis-AMATH-482 | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': 703573.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 33375.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-03-09 04:17:02+00:00 | 2020-03-14 22:41:50+00:00 | 5 days 18:24:48 | 1316 days 09:49:35.478835 | 1307 days 21:22:13.235293 | 2832 | False | -1308 days +02:37:46.764707 | related-tools-github-query-result | 3.605479 |
| 1119 | Aging-Cell-Morphology-Cell-transformations-and-image-processing | None | https://github.com/sumisingh/Aging-Cell-Morphology-Cell-transformations-and-image-processing | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Identifying cellular transformations associated with aging using image processing | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': 8130261.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2020-01-20 05:18:57+00:00 | 2020-01-20 05:29:56+00:00 | 0 days 00:10:59 | 1365 days 08:47:40.478835 | 1362 days 14:34:07.235293 | 27874 | False | -1363 days +09:25:52.764707 | related-tools-github-query-result | 3.739726 |
| 1120 | CellMorphology | https://github.com/KnightofDawn/CellMorphology | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Python code to identify/analyze cells from microscopic stack images. | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 65906.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-09-11 04:25:09+00:00 | 2018-09-10 20:41:28+00:00 | -1 days +16:16:19 | 1861 days 09:41:28.478835 | 1858 days 23:22:35.235293 | 161 | False | -1859 days +00:37:24.764707 | related-tools-github-query-result | 5.098630 | |
| 1121 | ImagingCells | None | https://github.com/jesnyder/ImagingCells | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | None | Scripts to analyze cell number and morphologies using images. | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': 1523.0, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-06-15 19:50:00+00:00 | 2018-08-31 19:21:33+00:00 | 76 days 23:31:33 | 1948 days 18:16:37.478835 | 1869 days 00:42:30.235293 | 1 | False | -1870 days +23:17:29.764707 | related-tools-github-query-result | 5.336986 |
| 1122 | course-bia | None | https://github.com/denzf/course-bia | [related-tools-github-query-result] | 0 | 0 | 1 | 0 | 1 | MIT | Code examples for the course of Biological Image Analysis | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 6010.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-01-28 21:58:13+00:00 | 2018-01-24 03:22:19+00:00 | -5 days +05:24:06 | 2086 days 16:08:24.478835 | 2088 days 16:41:44.235293 | 203 | False | -2089 days +07:18:15.764707 | related-tools-github-query-result | 5.715068 |
| 1123 | Cell-virulence-Detection-using-Image-Processing | None | https://github.com/arushigupta148/Cell-virulence-Detection-using-Image-Processing | [related-tools-github-query-result] | 0 | 0 | 0 | 0 | 1 | None | Designed an automated tool to find the thickness of multiple cell capsules from images using morphological operations to generate plots of cell size vs capsular thickness, simplifying detection of virulence in yeast cells for mycologists | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': None, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': 12989.0, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-12-27 08:27:06+00:00 | 2019-05-12 23:09:02+00:00 | 136 days 14:41:56 | 1754 days 05:39:31.478835 | 1614 days 20:55:01.235293 | 1751 | False | -1615 days +03:04:58.764707 | related-tools-github-query-result | 4.805479 |
| 1124 | Image-analysis | https://github.com/dguin/Image-analysis | [related-tools-github-query-result] | 0 | 0 | 0 | 0 | 1 | None | The repository contains code to analyze videos where each frame is a snapshot of the cellular status as a function of time. The program includes subroutines for segmentation protocols to pick a cell and differentiate it from the background when the signal to noise is low. The protocol docx explains what each code does and explains the order in which they must be run. As is the program analyzes FRET data from a cell, where the temperature increases as a function of time and one can evaluate the changes in the cell morphology as the cell is under heat stress | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 40670.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-10-13 18:53:42+00:00 | 2018-10-13 19:32:22+00:00 | 0 days 00:38:40 | 1828 days 19:12:55.478835 | 1826 days 00:31:41.235293 | 26 | False | -1827 days +23:28:18.764707 | related-tools-github-query-result | 5.008219 | |
| 1125 | oct-image-analysis | https://github.com/ricster101/oct-image-analysis | [related-tools-github-query-result] | 0 | 0 | 0 | 0 | 1 | None | Work developed with Adriana Costa during the course of Computer Vision and Biological Perception aiming to discover differences in mice retina | [] | {'AMPL': None, 'AspectJ': None, 'Assembly': None, 'Awk': None, 'Batchfile': None, 'C': None, 'C#': None, 'C++': None, 'CMake': None, 'CSS': None, 'Clojure': None, 'Common Workflow Language': None, 'Cuda': None, 'Cython': None, 'D': None, 'Dockerfile': None, 'Emacs Lisp': None, 'Forth': None, 'Fortran': None, 'FreeMarker': None, 'Gnuplot': None, 'Go': None, 'Groovy': None, 'HCL': None, 'HTML': None, 'Hack': None, 'ImageJ Macro': None, 'Java': None, 'JavaScript': None, 'Jinja': None, 'Julia': None, 'Jupyter Notebook': None, 'Kotlin': None, 'Lua': None, 'M': None, 'M4': None, 'MATLAB': 22755.0, 'Makefile': None, 'Mako': None, 'Mercury': None, 'Meson': None, 'Nextflow': None, 'Objective-C': None, 'Objective-C++': None, 'OpenEdge ABL': None, 'PHP': None, 'PLpgSQL': None, 'POV-Ray SDL': None, 'Perl': None, 'Perl 6': None, 'PostScript': None, 'PowerShell': None, 'Processing': None, 'Procfile': None, 'Python': None, 'QMake': None, 'R': None, 'Raku': None, 'Reason': None, 'Rebol': None, 'Ren'Py': None, 'Rich Text Format': None, 'Roff': None, 'Ruby': None, 'Rust': None, 'SCSS': None, 'Scala': None, 'Scheme': None, 'Scilab': None, 'Shell': None, 'Singularity': None, 'Smarty': None, 'Stan': None, 'Standard ML': None, 'Starlark': None, 'Swift': None, 'TSQL': None, 'TeX': None, 'Terra': None, 'Thrift': None, 'TypeScript': None, 'VBScript': None, 'Vala': None, 'Vim Script': None, 'Visual Basic .NET': None, 'Vue': None, 'WDL': None, 'XSLT': None, 'eC': None, 'sed': None} | 2018-03-19 01:29:32+00:00 | 2018-03-19 03:31:25+00:00 | 0 days 02:01:53 | 2037 days 12:37:05.478835 | 2034 days 16:32:38.235293 | 16 | False | -2035 days +07:27:21.764707 | related-tools-github-query-result | 5.580822 |